Informazioni sui documenti di Azure AI è un servizio cognitivo che estrae dati da immagini e documenti usando l'apprendimento automatico.

Linguaggi di programmazione supportati

	Pacchetto	Versioni API supportate	Piattaforme supportate
	NuGet
			Windows, macOS, Linux
	npm		Browser, Windows, Linux, macOS
	PyPI		Windows, macOS, Linux

Client supportati

Lingua	Versione dell'SDK		Client supportati
		31-07-2020
		31-08-2023
	v2.1	v2.1
	v2.0	v2.0

Java

Lingua	Versione dell'SDK	Versione dell'API	Client supportati
		31-08-2023
	v2.1	v2.1
	v2.0	v2.0

JavaScript

Lingua	Versione dell'SDK		Client supportati
		31-08-2023
	v2.1	v2.1
	v2.0	v2.0

Python

Lingua	Versione dell'SDK		Client supportati
Python 3.6.4
Python 2.7.x		31-08-2023
Python 2.7.x	v2.1	v2.1
Python 3.6.4	v2.0	v2.0

Installare la libreria client.

dotnet add package Azure.AI.FormRecognizer --version 4.1.0

Install-Package Azure.AI.FormRecognizer -Version 4.1.0

Java

  <dependency>
  <groupId>com.azure</groupId>
  <artifactId>azure-ai-formrecognizer</artifactId>
  <version>4.1.0</version>
  </dependency>

implementation("com.azure:azure-ai-formrecognizer:4.1.0")

JavaScript

npm i @azure/ai-form-recognizer@5.0.0

Python

pip install azure-ai-formrecognizer==3.3.0

using Azure;
using Azure.AI.FormRecognizer.DocumentAnalysis;

Java

import com.azure.ai.formrecognizer.*;
import com.azure.ai.formrecognizer.models.*;
import com.azure.ai.formrecognizer.DocumentAnalysisClient.*;

import com.azure.core.credential.AzureKeyCredential;

JavaScript

const { AzureKeyCredential, DocumentAnalysisClient } = require("@azure/ai-form-recognizer");

Python

from azure.ai.formrecognizer import DocumentAnalysisClient
from azure.core.credentials import AzureKeyCredential

Configurare l'autenticazione.

Incollare la chiave API.

//set `<your-endpoint>` and `<your-key>` variables with the values from the Azure portal to create your `AzureKeyCredential` and `DocumentAnalysisClient` instance
string key = "<your-key>";
string endpoint = "<your-endpoint>";
AzureKeyCredential credential = new AzureKeyCredential(key);
DocumentAnalysisClient client = new DocumentAnalysisClient(new Uri(endpoint), credential);

Java

// create your `DocumentAnalysisClient` instance and `AzureKeyCredential` variable
DocumentAnalysisClient client = new DocumentAnalysisClientBuilder()
            .credential(new AzureKeyCredential("<your-key>"))
            .endpoint("<your-endpoint>")
            .buildClient();

JavaScript

// create your `DocumentAnalysisClient` instance and `AzureKeyCredential` variable
async function main() {
    const client = new DocumentAnalysisClient("<your-endpoint>", new AzureKeyCredential("<your-key>"));

Python

# create your `DocumentAnalysisClient` instance and `AzureKeyCredential` variable
    document_analysis_client = DocumentAnalysisClient(endpoint="<your-endpoint>", credential=AzureKeyCredential("<your-key>"))

Nota

1. Installare le Librerie di Azure per .NET.

       dotnet add package Azure.Identity
   

       Install-Package Azure.Identity
   

5. string endpoint = "<your-endpoint>";
   var client = new DocumentAnalysisClient(new Uri(endpoint), new DefaultAzureCredential());
   

Per altre informazioni sull'elemento , vedere Cache client.

Java

1. <dependency>
       <groupId>com.azure</groupId>
       <artifactId>azure-identity</artifactId>
       <version>1.5.3</version>
   </dependency>
   

5. TokenCredential credential = new DefaultAzureCredentialBuilder().build();
   DocumentAnalysisClient documentAnalysisClient = new DocumentAnalysisClientBuilder()
       .endpoint("{your-endpoint}")
       .credential(credential)
       .buildClient();
   

Per altre informazioni sull'elemento , vedere Cache client.

JavaScript

1. Libreria client Azure Identity per JavaScript

   npm install @azure/identity
   

5. const { DocumentAnalysisClient } = require("@azure/ai-form-recognizer");
   const { DefaultAzureCredential } = require("@azure/identity");
   
   const client = new DocumentAnalysisClient("<your-endpoint>", new DefaultAzureCredential());
   

Python

1. pip install azure-identity
   

5. from azure.identity import DefaultAzureCredential
   from azure.ai.formrecognizer import DocumentAnalysisClient
   
   credential = DefaultAzureCredential()
   document_analysis_client = DocumentAnalysisClient(
       endpoint="https://<my-custom-subdomain>.cognitiveservices.azure.com/",
       credential=credential
   )
   

Per altre informazioni sull'elemento , vedere Cache client.

Compilare l'applicazione

Passaggi successivi